metadata

license: mit
library_name: peft
tags:
  - generated_from_trainer
base_model: microsoft/Phi-3-mini-128k-instruct
model-index:
  - name: trainer
    results: []

trainer

This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.3826
eval_runtime: 19.8497
eval_samples_per_second: 1.31
eval_steps_per_second: 0.655
epoch: 7.0
step: 826

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 20
mixed_precision_training: Native AMP

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2